Acoustic Performance of Exhaust Muffler Based Genetic Algorithms and Artificial Neural Network
Abstract: The noise level was one of the important
indicators as a measure of the quality and performance of the diesel
engine.Exhaust noise in diesel engines machine accounted for an important
proportion of installed performance exhaust muffler and it was an effective way
to control exhaust noise. This article using orthogonal test program for the
muffler structure parameters as input to the sound pressure level and diesel
fuel each output artificial neural network (BP network) learning sample. Matlab
artificial neural network toolbox to complete the training of the network, and
better noise performance and fuel consumption rate performance muffler internal
structure parameters combination was obtained through genetic algorithm gifted
collaborative validation of artificial neural networks and genetic algorithms
to optimize application exhaust muffler design is entirely feasible.
Author: Bing Wang, Xiaoli Wang
Journal Code: jptkomputergg130053